-
1 Comment
YG Plus, Inc is currently in a long term uptrend where the price is trading 3.6% above its 200 day moving average.
From a valuation standpoint, the stock is 21.2% more expensive than other stocks from the Communication Services sector with a price to sales ratio of 3.2.
YG Plus, Inc's total revenue rose by 8.4% to $30B since the same quarter in the previous year.
Its net income has dropped by 18.7% to $-3B since the same quarter in the previous year.
Finally, its free cash flow fell by 100.3% to $-34M since the same quarter in the previous year.
Based on the above factors, YG Plus, Inc gets an overall score of 2/5.
| ISIN | KR7037270006 |
|---|---|
| Exchange | KO |
| CurrencyCode | KRW |
| Sector | Communication Services |
| Industry | Advertising Agencies |
| Dividend Yield | None |
|---|---|
| Beta | 1.38 |
| Target Price | 4600 |
| Market Cap | 336B |
YG Plus, Inc. produces and distributes music, MD, and other content. It operates NAVER music platform; VIBE, a platform that conducts music production and investment distribution business; and MIXTAPE, a next-generation digital music distribution platform. The company also provides intellectual property solutions, which includes official music and merchandise store under the YG SELECT name, and official commerce shop under the Weverse Shop, as well as offline channels. In addition, it operates Forest Factory, an entertainment-specialized printing company, as well as financial investment business. The company was formerly known as Phoenix Holdings Inc. The company was founded in 1996 and is based in Seoul, South Korea.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 037270.KO using our backtest tool. PyInvesting provides the backtesting software for you to backtest your investment strategy. Our backtest software is written using Python code and allows you to backtest stock, backtest etf, backtest options, backtest crypto and backtest forex online. Our backtesting Python framework is highly robust and gives you a realistic simulation of how your strategy would have performed in the past using backtest data.
© PyInvesting 2025
